Systems and methods are described for denoising, or filtering out, unwanted noise or interference, from biological or physiological parameter signals or waveforms such as ECG signals caused by application of electromagnetic energy (e.g., electrical stimulation) in a vicinity of sensors configured to obtain the biological or physiological parameter signals.

A medical device is configured to sense a cardiac electrical signal and determine from the cardiac electrical signal at least one of a maximum peak amplitude of a positive slope of the cardiac electrical signal and a maximum peak time interval from a pacing pulse to the maximum peak amplitude. The device is configured to determine a capture type of the pacing pulse based on at least one or both of the maximum peak amplitude and the maximum peak time interval.

A medical system including processing circuitry configured to receive a cardiac signal indicative of a cardiac characteristic of a patient from sensing circuitry and configured to receive a glucose signal indicative of a glucose level of the patient. The processing circuitry is configured to formulate a training data set including one or more training input vectors using the cardiac signal and one or more training output vectors using the glucose signal. The processing circuitry is configured to train a machine learning algorithm using the formulated training data set. The processing circuitry is configured to receive a current cardiac signal from the patient and determine a representative glucose level using the current cardiac signal and the trained machine learning algorithm.

An apparatus, system and technique selectively eliminates the noxious signal components in a neuronal signal by creating an interfering electrical signal that is tuned to a given frequency corresponding to the oscillatory pattern of the noxious signal, resulting in a modified neuronal signal that substantially reproduces a normal, no-pain neuronal signal. The disclosed system and technique of pain relief is based on the hypothesis that the temporal profile of pain signals encodes particular components that oscillate at unique and quantifiable frequencies, which are responsible for pain processing in the brain.

An implantable medical device (IMD) is provided and includes sensing circuitry coupled to electrodes. The sensing circuitry is configured to sense electrical biological signals indicative of a non-physiologic condition of interest experienced by a patient during a magnetic resonance imaging (MRI) procedure, and in the presence of an MRI scanning sequence, the MRI scanning sequence includes at least one of radio frequency (RF) or gradient fields that are in an active state for active field intervals. The device includes memory to store the biological signals and to store program instructions and includes a processor that, when executing the program instructions, is configured to: determine start times for the active field intervals when the at least one of RF or gradient fields switch to the active state and manage generation of MRI-induced-noise corrected (MRI-INC) biological signals, based on the start times for the active field intervals, by at least one of: 1) applying a blanking interval to the sensing circuitry to blank a sensing operation during at least portions of the active field interval or 2) modifying segments of the biological signal sensed during at least the portions of the active field interval, and 3) comparing biologic signal sensed during at least the portions of the active field interval to a template. The device analyzes the biological signals for an indication that the patient is experiencing the non-physiologic condition.

A system is disclosed herein for providing a kinetic assessment and preparation of a prosthetic joint comprising one or more prosthetic components. The system comprises a prosthetic component including sensors and circuitry configured to measure load, position of load on a curved surface, joint stability, range of motion, and impingement. In one embodiment, the system is for a ball and socket joint of a musculoskeletal system. The system further includes a computer having a display configured to graphical display quantitative measurement data to support rapid assimilation of the information. The kinetic assessment measures joint alignment under loading that will be similar to that of a final joint installation. The kinetic assessment can use trial or permanent prosthetic components. Furthermore, adjustments can be made to the applied load magnitude, position of load, and joint alignment by various means to fine-tune an installation.

A multi-sensor system may include a catheter that has lumen, is flexible, is made of a polymer, and has a circular cross section that has an outer diameter of no more than 0.5 cm; and one or more sensors that sense multiple characteristics of material flowing within the lumen, including at least two of the following: flow rate, pressure, and composition of the material. A multi-sensor system may include a catheter that has lumen, is flexible, is made of a polymer, and has a circular cross section that has an outer diameter of no more than 0.5 cm; and one or more sensors that sense multiple characteristics of material flowing within the lumen, including at least two of the following: flow rate, pressure, and composition of the material.

This invention relates to an aneurysm occluder, and more particularly but not exclusively, to an endovascular aneurysm occluder that can be inserted into an aneurysm cavity by using endovascular surgical procedures. The aneurysm occluder has a deformable housing and an absorber or material that causes blood clotting made of an absorbent material in or attached to the housing.

An apparatus for monitoring a patient post operation having electrically conducting leads which are adapted to extend from inside the patient. The leads having electrodes adapted to communicate with a heart of the patient and apply electrical signals to the heart. The electrodes providing cardiac signals to the computer in response to the electrical signals so the computer can determine in real time at least one of heart volume, end diastolic heart volume, end systolic heart volume, stroke volume, change in heart volume, change in stroke volume, contractility, respiration rate or tidal volume regarding the patient.

Disclosed herein are methods that can comprise detecting a cardiopulmonary measurement in a subject. Disclosed herein are methods that can comprise monitoring a disease in a patient by detecting a cardiopulmonary measurement. Disclosed herein are methods that can comprise treating a patient after detecting a cardiopulmonary measurement in a subject.